University of Michigan

• High-dimensional data
• Functional data
• Space-time models

Churchill College

• Functional / Object Data Analysis
• Time Series Analysis
• Official and Public Policy Statistics
• Statistical Neuroimaging
• Statistical Linguistics
• Seasonal Adjustment
• Applied Statistics

University of California, Berkeley

• Statistics
• Combinatorics

Chuo University

• Statistical modeling
• Machine learning
• Data assimilation

University of California, Los Angeles

• Statistics: Regression, Data Visualization, Survey Sampling, Design

Rutgers University

• Data depth
• Fusion learning
• Confidence distribution
• Resampling
• Nonparametric and robust statistics
• Aviation risk analysis

University of California, Los Angeles

• High-dimensional data
• Networks for finance
• biology
• engineering
• Bioinformatics
• Stochastic control

Italian National Research Council in Milano

• Adversarial Risk Analysis
• Bayesian Analysis, Bayesian Decision Theory, Bayesian Nonparametrics, Bayesian Robustness
• Frauds in Healthcare
• Gamma-minimax
• Industrial Statistics
• Mixture Models

Vanderbilt University Medical Center

• Statistical and bioinformatics methodology
• Next-generation sequencing data, Adaptive clinical trials
• Longitudinal binary data, Cancer biology
• Epidemiology and bioinformatics
• Proteomics, Survival analysis
• Teaching biostatistics

University of Chicago

• Econometrics
• Financial econometrics
• Statistics
• Risk Management

University of California, Davis

• Aging Research
• Biodemography
• Dimension Reduction
• Functional/Longitudinal Data Analysis
• Longitudinal/Survival Data
• Neuroimaging Data

Stanford University

• Mathematical statistics
• Bayesian statistics
• Computational biology

The Chinese University of Hong Kong, Shenzhen

• Industrial statistics

University of London

• Statistics